{
  "abstract": "We employ a full Bayesian analysis with adaptive Metropolis-Hastings Markov chain Monte Carlo (BA-MCMC) sampling to systematically study the posterior probability distributions of the strengths of energy terms in optimized nuclear mass models of Bethe-Weizsäcker variants. Strong correlations of some energy terms for some mass models are revealed through the parameter degeneracy diagnosis. We analyze selected refined models to determine parameter degeneracies while proposing a new macroscopic-microscopic mass model, BWL, which considers quadrupole and high-multipole deformation and shell corrections. All mass models in this work are analyzed and optimized through the BA-MCMC method. Compared with 2242 precise experimental binding energies of AME2020, BWL produces a root-mean-square deviation of 759 keV, particularly improving the description of masses in the light-nuclei and actinide regions. BA-MCMC offers robust inference on parameter degeneracy while providing an optimization method for future nuclear mass models.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Journal reference: Chinese Physics C XXX, XXXXXX (2026)",
  "arxiv": "2606.30519",
  "author_total": 4,
  "authors": [
    {
      "name": "Xiangnan Lee"
    },
    {
      "name": "Yi Hua Lam"
    },
    {
      "name": "Zi-Ao Zhang"
    },
    {
      "name": "Jayke Ren"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4r1np8akh5qb1.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2606.30519",
  "fulltext_url": null,
  "id": "4r1np8akh5qb1",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2606.30519",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "nucl-ex"
    ],
    [
      "arxiv",
      "nucl-th"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2606.30519",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-10",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/4r1np8akh5qb1.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:26Z",
      "native_id": "2606.30519",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2606.30519"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:nucl-ex",
      "subfield": "nuclear"
    }
  ],
  "title": "Nuclear Mass Models with Deformation Optimized and Diagnosed by Bayesian Analysis with Markov Chain Monte Carlo",
  "title_text": "Nuclear Mass Models with Deformation Optimized and Diagnosed by Bayesian Analysis with Markov Chain Monte Carlo",
  "type": "preprint",
  "updated_at": "2026-11-06T18:21:01Z",
  "url": "https://research.draconitic.com/paper/4r1np8akh5qb1",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1088/1674-1137/aea548",
      "pid": null,
      "relation": "published-as",
      "title": null,
      "venue": null
    }
  ]
}